Modern computers struggle to match the efficiency of the human brain. Even recognizing handwritten digits can consume significant energy, largely ...
A review paper by scientists at Beijing Institute of Graphic Communication presented  a thorough review of the existing ...
Engineers are starting to build hardware that does not just run artificial intelligence, it behaves like a primitive form of ...
Conducting polymers have emerged as a pivotal class of materials for advanced optoelectronic applications owing to their tunable molecular structure, ...
Tiny molecules that can think, remember, and learn may be the missing link between electronics and the brain. For more than ...
Artificial intelligence is colliding with a hard physical limit: the energy and heat of conventional chips. As models scale into the trillions of parameters, simply throwing more silicon and ...
The growing energy use of AI has gotten a lot of people working on ways to make it less power hungry. One option is to develop processors that are a better match to the sort of computational needs of ...
Research Center for Mind, Brain & Learning, National Chengchi University, Taipei 11605, Taiwan ...
Why it matters: Silicon transistors are great, but just like any other object in the physical world, they are held back by a few limitations. The laws of physics put a bottleneck on performance and ...